> Markdown version of [/jobs/ext/3845362-principal-data-analyst](https://www.wearedevelopers.com/jobs/ext/3845362-principal-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Data Analyst - **Company:** Tendo Corporation - **Location:** Chicago, IL, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Amazon Web Services, Data Analysis, Microsoft Azure, Data Visualization, Python (Programming Language), Microsoft PowerPoint, Cloud Services, Tableau (Software), Jupyter Notebook, Smartsheet, Sql Optimization, Google Data Studio, Plotly, Gsuite - **Published:** October 20, 2026 - **Apply:** https://www.builtincolorado.com/auth/login?destination=/job/principal-data-analyst/11754220 ## About the Role * Bachelor's degree in Computer Science, Engineering, Statistics, or Health Sciences * Master's degree in Public Health, Epidemiology, Statistics, or a related quantitative field * Equivalent work experience with a portfolio of relevant analytic projects Experience: * 7+ years of experience in healthcare data analytics, with a focus on hospital quality measurement, clinical outcomes, or performance improvement * Hands-on experience with one or more national quality rankings or ratings programs, such as CMS Star Ratings, USNWR Best Hospitals, Leapfrog, Vizient Quality & Accountability, or CMS value-based programs (HRRP, HAC, VBP) * Experience working with Medicare claims (MedPAR, Standard Analytic Files) and CMS public reporting data (e.g., Care Compare, Provider Data Catalog) * Demonstrated experience leading analytic projects end to end, from scoping through delivery * Experience presenting findings and recommendations to senior leadership or customer executives Core Competencies: * Advanced SQL and proficiency in Python or R for data analysis * Expertise in business intelligence and data visualization tools, with the ability to set dashboard and reporting standards * Strong command of statistical methods, benchmarking, and performance measurement * Ability to translate ambiguous business and customer questions into clear analytic plans * Ability to communicate complex findings clearly to executive and non-technical audiences * Experience mentoring analysts and reviewing their work for quality and accuracy Nice to Have * Experience in a customer-facing, consulting, or pre-sales analytics role * Six Sigma or Lean certification * Experience with Tableau, Looker Studio, Plotly/Dash, or similar visualization platforms * Experience with cloud data platforms (AWS, GCP, or Azure) * Familiarity with Jupyter Notebook and collaborative analytics workflows * Advanced proficiency in Excel/Google Sheets and PowerPoint/Google Slides * Experience with Smartsheet or similar project management tools * Tableau/Google Data Studio/Plotly/Dash. * Pycharm, VSCode, Sublime Text, Atom, etc. * AWS/GCP/Azure, etc. ## Description * Own data sourcing, cleaning, and quality assurance, and set the validation standards the team uses for all analytic outputs. * Design, build, and maintain reporting, dashboard, and benchmarking tools, and set visualization standards for customer-facing work. * Present findings and recommendations to customer and internal leadership, supporting pre-sales, sales, renewals, and ongoing customer engagement. * Partner with Data Scientists and Process Improvement Consultants on methodology, project scoping, and delivery. * Mentor analysts, review their work for accuracy and quality, and help build repeatable analytic processes for the team., Leads actuarial financial data systems and marts, developing data solutions, extracts, reports, analyses, automations, validations, and executive reporting support. Manages data mart maintenance, audits, business requirements, technical specifications, user acceptance testing, and system implementations. Provides technical leadership, coordinates vendors and departments, trains junior staff, and advises project teams on data architecture, business rules, configuration, and financial data quality.